Currently supervised PostDocs
- Tiago Veiga (2020 – ): ERCIM & AI4EU
- Irina Reshodko (2020 – ): Automated feedback and instruction system for passenger car driving schools, co-supervised with Odd Erik Gundersen
Currently supervised Ph.D. students (main supervision)
- Paola Marin Veites (2021 – ): The Use of Case-Based Reasoning in Muscoloskeletal Pain Complaints – co-supervised by Ottar Vasseljen
- Aleksej Logacjov (2021 – ): Improving the Understanding of Physical Activity Behavior and Sleep Using Machine Learning – co-supervised by Paul Jarle Mork
- Sverre Herland (2020 – ) – co-supervised by Helge Langseth
- Deepika Verma (2017 – ): Activity Profiling and Phenotypes of Physical Behaviour and Sleep using Machine Learning Methods – co-supervised by Paul Jarle Mork
Currently supervised Ph.D. students (co-supervision)
- Hafiz Areeb Asad (2021 – ): Machine Learning for Cognitive Power Management in IoT – main supervisor Frank Kraemer
- Fredrik Granviken (2020 – ): – main supervisor Ottar Vasseljen
- Johannes Rehm (2020 – ): – main supervisor Odd Erik Gundersen
- Håkon Måløy (2018 – ): Recognizing Ecological Behavioural Patterns with Deep Learning – main supervisor Keith Downing
- Abdulmajid Murad (2018 – ): – main supervisor Frank Kraemer
- Fabienne Rössler (2018 – ): – main supervisor Nadav Bar
- Elise Klæbo Vonstad (2017 – 2021): Machine Learning in Exergaming – main supervisor Jan Harald Nilsen
- Di Wu (2017 – ): Tensor-based data analysis for complex system modelling – main supervisor Hao Wang
- Hoda Nikpour (2015 – 2021): Integrating CBR and Bayesian Networks – main supervisor Agnar Aamodt
Alumni (Ph.D. and Post-docs)
- Ilya Ashikhmin (Post-doc, 2017 – 2021): selfBACK project & Back-Up project
- Tomasz Szczepanski (Researcher, 2016-2021): selfBACK project & Back-Up project
- Bjørn Magnus Mathisen (Ph.D., 2016-2021): Using Similarity Learning to Enable Decision Support in Aquaculture – main supervisor, co-supervisors: Agnar Aamodt and Helge Langseth
Ph.D. Committees (internal and external)
- Tor Gunnar Høst Houeland, NTNU (2020): Automated lazy metalearning in introspective reasoning systems [administrator and member of the committee]
- Pascal Reuss, University of Hildesheim (2019): Case Factories: A Maintenance Cockpit for distributed structural Case-Based Reasoning Systems [opponent]
- Patrick Schuch, NTNU (2019): Deep Learning for Fingerprint Recognition Systems [administrator and member of the committee]
- Thomas Falch, NTNU (2018): ImageCL and Other Techniques and Tools for Optimizing Applications Utilizing Heterogeneous Computing [administrator and member of the committee]